Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Active contour-based detection of estuarine dolphin whistles in spectrogram images

Full text
Author(s):
Serra, O. M. [1] ; Martins, F. P. R. [1] ; Padovese, L. R. [1]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Escola Politecn, Dept Mech Engn, Av Prof Mello Moraes 2231, BR-05508030 Sao Paulo - Brazil
Total Affiliations: 1
Document type: Journal article
Source: ECOLOGICAL INFORMATICS; v. 55, JAN 2020.
Web of Science Citations: 0
Abstract

An algorithm for detecting tonal vocalizations from estuarine dolphin (Sotalia guianensis) specimens without interference of a human operator was developed. The raw audio data collected from a passive monitoring sensor in the Cananeia underwater soundscape was converted to spectrogram images. Detection is a four-step method: first, ridge maps are obtained from the spectrogram images; second, a probabilistic Hough transform algorithm is applied to detect ridges similar to thick line segments, referred to as line-like, which are adjusted to the geometry of the whistles in the images via an active contour algorithm; third, feature vectors are built from the geometry of each detected whistle, with 9 descriptive features; and fourth, the detections are fed to a random forest classifier to parse out mistakes by the detection process. We developed a system for classifying the characteristic patterns detected as Sotalia guianensis whistles or random empty detections. We obtained accuracy of 0.977 and F1-score of 0.981. (AU)

FAPESP's process: 14/50279-4 - Brasil Research Centre for Gas Innovation
Grantee:Julio Romano Meneghini
Support Opportunities: Research Grants - Research Centers in Engineering Program